• Login
    View Item 
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    •   Home
    • UA Graduate and Undergraduate Research
    • UA Theses and Dissertations
    • Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of UA Campus RepositoryCommunitiesTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournalThis CollectionTitleAuthorsIssue DateSubmit DateSubjectsPublisherJournal

    My Account

    LoginRegister

    About

    AboutUA Faculty PublicationsUA DissertationsUA Master's ThesesUA Honors ThesesUA PressUA YearbooksUA CatalogsUA Libraries

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Supporting decision-making with organizational decision memory.

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Thumbnail
    Name:
    azu_td_9333336_sip1_m.pdf
    Size:
    2.909Mb
    Format:
    PDF
    Description:
    azu_td_9333336_sip1_m.pdf
    Download
    Author
    Johnson, Jeffrey Jay.
    Issue Date
    1993
    Keywords
    Dissertations, Academic.
    Psychology.
    Decision making -- Psychological aspects.
    Committee Chair
    George, Joey F.
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Although organizational memory remains a relatively ill-defined construct, information systems developers seem anxious to build software that is intended to facilitate its development and use. The construct seems to consist of concepts from organizational theory, information systems design, and decision support. Decision support is one of the commonly proposed uses of organizational memory, and a common justification for efforts to build information systems to support organizational memory. Yet, the broad range of information that might be stored in and recalled from an organization's memory makes it difficult to define requirements for an automated organizational memory system. This dissertation describes the design and implementation of a laboratory experiment aimed at discovering whether information about historic decision making behavior could be useful to decision makers in organizations. Several hypotheses were tested. The first is that information about decision-making behavior from the past will lead decision makers to make better decisions in the present. Second, the experiment tested the hypothesis that historic information from an organizational (collective) source would be more helpful to decision makers than similar information from an individual source. These hypotheses were supported. Third, it was hypothesized that historic decision information, presented in the format of a linear regression model would be more helpful to decision makers than similar information in a textual format. This hypothesis was not supported. Additionally, hypotheses were tested concerning the relative benefits of collective and individual sources of historic information versus no historic information, and comparing the benefits of the regression format and textual format versus no historic information. The findings indicated that the information from a collective source provided better decision support than no historic information, but information from the individual source was not significantly superior to no historic information. Further, the information in the textual format was significantly better than no information, but the regression format was not significantly better than no historic information. In general, the findings indicate that historic decision information can lead decision makers to make better decisions, but source of information and the presentation format are important variables affecting the extent of the benefit.
    Type
    text
    Dissertation-Reproduction (electronic)
    Degree Name
    Ph.D.
    Degree Level
    doctoral
    Degree Program
    Management Information Systems
    Graduate College
    Degree Grantor
    University of Arizona
    Collections
    Dissertations

    entitlement

     
    The University of Arizona Libraries | 1510 E. University Blvd. | Tucson, AZ 85721-0055
    Tel 520-621-6442 | repository@u.library.arizona.edu
    DSpace software copyright © 2002-2017  DuraSpace
    Quick Guide | Contact Us | Send Feedback
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.